A novel randomized clustering method is proposed to overcome some of the drawbacks of Mean Shift method. A hypothetical potential field is constructed from all the data points. Different from Mean Shift which moves th...
详细信息
Tangent distance method approximates nonlinear manifolds by their tangent hyperplanes and has been widely used in image recognition. However tangent distance directly deals with original images while high-order statis...
详细信息
ISBN:
(纸本)9780819485786
Tangent distance method approximates nonlinear manifolds by their tangent hyperplanes and has been widely used in image recognition. However tangent distance directly deals with original images while high-order statistic information may be neglected. And the information of image transformation should be known a priori. We propose a new image distance metric-Gabor feature-based approximated manifold distance (GFMD) to address these disadvantages. Firstly Gabor wavelet transform are applied to calculate high-order statistical information of images. The intrinsic variables of feature manifold are revealed by MVU. The feature manifold can be approximated by curve surfaces based on second-order Taylor expansion. GFMD is defined as the minimum distance between the approximated curved surfaces and can be directly combined with distance-based classifiers for image recognition. The experimental results of face recognition demonstrate that GFMD not only has higher invariance of transformation but also has more stability of classification than several state-of-the-art distance metrics.
Monitoring urbanization may help government agencies and urban region planners in updating land maps and forming long-term plans accordingly. In this paper, a novel method for fast extracting residential area from rem...
详细信息
ISBN:
(纸本)9780819485786
Monitoring urbanization may help government agencies and urban region planners in updating land maps and forming long-term plans accordingly. In this paper, a novel method for fast extracting residential area from remote sensing images based on log-Gabor filter was proposed. The method is divided in three steps. Firstly, we detect the edge-oriented urban characteristics in a remote sensing image using log-Gabor filter. Secondly, with the filtering orientations perpendicular to each other, we choose two log-Gabor filter response images to suppress the noise and acquire a smooth spatial region. Thirdly, a set of smooth regions served as residential areas can be extracted using Otsu's method. We tested it on diverse aerial and satellite images and encouraging results were acquired. The comparison of our method with the classical texture analyzing method of co-occurrence matrix demonstrated its superiority.
computervision technology has been increasingly used for automatically observing crop growth state, but as one of the key parameters in the field of agro-meteorological observation, crop canopy height is still measur...
详细信息
ISBN:
(纸本)9780819485809
computervision technology has been increasingly used for automatically observing crop growth state, but as one of the key parameters in the field of agro-meteorological observation, crop canopy height is still measured manually in the actual observation process up to now. In order to automatically measure the height based on the forward-and-downward-looking image in the existing monocular vision observation system, a novel method is proposed, that is, to measure the canopy height indirectly by the solving algorithm for the actual height of the vertical objects (SAAH) with the help of the intelligent sensor device. The experiment results verified the feasibility and validity of our method, and that the method could meet the actual observation demand.
Real world data is usually high dimensional, and dimensionality reduction can significantly improve the efficiency of data processing and analysis. Existing approaches relying on distances between neighboring features...
详细信息
ISBN:
(纸本)9780819485786
Real world data is usually high dimensional, and dimensionality reduction can significantly improve the efficiency of data processing and analysis. Existing approaches relying on distances between neighboring features typically suffer from the unreliable estimation of the true distance on a feature manifold due to its non-convexity. An approach is proposed to solve the problem by discarding long geodesics poisoned by boundary points indiscriminately. However, despite the improved performance, there are two major shortcomings with the approach. First, many long geodesics poisoned by few boundary points, which contribute little to the distortion of a manifold, are thrown away, as may decrease the robustness without improving the distortion of the manifold. Second, since short geodesics are sensitive to noise, retaining the whole effect of them may result in the bad robustness. This paper presents a regularization framework for nonlinear dimensionality reduction that incorporates long geodesics poisoned by few boundary points and reduces the effect of short geodesics, to realize isometry largely. In addition, the approach is sensitive to non-uniform sampling. To cope with the issue, we describe an improved robust boundary detection method. Experimental results are presented to illustrate the better performance of the proposed algorithm on two standard data sets.
This paper proposed a design program of 3D crafts manufacturing system which is based on binocular stereo vision and plug-in technology. First, this paper gave an overall introduction to the system, including system s...
详细信息
Unmanned Aerial Vehicles (UAVs) are been increasingly used in civilian and military domains. vision-aided inertial navigation system in UAV is studied by more and more researchers for it's non-contact, high accura...
详细信息
ISBN:
(纸本)9780819485779
Unmanned Aerial Vehicles (UAVs) are been increasingly used in civilian and military domains. vision-aided inertial navigation system in UAV is studied by more and more researchers for it's non-contact, high accuracy and stability. In this paper, an L1-Graph-based image matching approach, which constructs neighbouring system based on sparse representation, is proposed for monocular motion vision measurement. Then, a scheme for amending the outputs of inertial sensor for the velocity measurement is designed, which fuse the outputs from the downward-looking velocity measurement and inertial sensor by Kalman filter. Experiments show this design form an accurate navigation solution.
Iris recognition is one of the most widely used biometric technique for personal identification. This identification is achieved in this work by using the concept that, the iris patterns are statistically unique and s...
详细信息
Iris recognition is one of the most widely used biometric technique for personal identification. This identification is achieved in this work by using the concept that, the iris patterns are statistically unique and suitable for biometric measurements. In this study, a novel method of recognition of these patterns of an iris is considered by using a multidimensional artificial neural network. The proposed technique has the distinct advantage of using the entire resized iris as an input at once. It is capable of excellent patternrecognition properties as the iris texture is unique for every person used for recognition. The system is trained and tested using two publicly available databases (CASIA and UBIRIS). The proposed approach shows significant promise and potential for improvements, compared with the other conventional matching techniques with regard to time and efficiency of results.
暂无评论